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  license: mit
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  ---
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- *Replication Data for:* Image-based Treatment Effect Heterogeneity
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- *Details:* UgandaDataProcessed.csv contains individual-level data from the YOP experiment. In the dataset, geo_long and geo_lat refer to the approximate geo-referenced long/lat of experimental units. The variable, geo_long_lat_key, refers to the image key associated with each location. Experimental outcomes are stored in Yobs. Treatment variable is stored in Wobs. See the tutorial for more information.
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  UgandaGeoKeyMat.csv contains information on keys linking to satellite images for all of Uganda for the transportability analysis.
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  Geo-referenced satellite images are saved in "./Uganda2000_processed/GeoKey%s_BAND%s.csv", where GeoKey%s denotes the image key associated with each observation and BAND%s refers to one of 3 bands in the satellite imagery.
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- *Paper reference:* Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:531-552, 2023. [[PDF]](https://proceedings.mlr.press/v213/jerzak23a/jerzak23a.pdf)
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- *Code link:* https://github.com/cjerzak/causalimages-software
 
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  license: mit
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  ---
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+ **Replication Data for:** Image-based Treatment Effect Heterogeneity
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+ **Details:** UgandaDataProcessed.csv contains individual-level data from the YOP experiment. In the dataset, geo_long and geo_lat refer to the approximate geo-referenced long/lat of experimental units. The variable, geo_long_lat_key, refers to the image key associated with each location. Experimental outcomes are stored in Yobs. Treatment variable is stored in Wobs. See the tutorial for more information.
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  UgandaGeoKeyMat.csv contains information on keys linking to satellite images for all of Uganda for the transportability analysis.
10
 
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  Geo-referenced satellite images are saved in "./Uganda2000_processed/GeoKey%s_BAND%s.csv", where GeoKey%s denotes the image key associated with each observation and BAND%s refers to one of 3 bands in the satellite imagery.
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+ **Paper reference:** Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:531-552, 2023. [[PDF]](https://proceedings.mlr.press/v213/jerzak23a/jerzak23a.pdf)
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+ **Code link:** https://github.com/cjerzak/causalimages-software